AAAI

Efficient Exploration in Resource-Restricted Reinforcement Learning

Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang

Comments Accepted to AAAI 2023

Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs

Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang

Comments AAAI 2023

XRand: Differentially Private Defense against Explanation-Guided Attacks

Truc Nguyen, Phung Lai, NhatHai Phan, My T. Thai

Comments To be published at AAAI 2023

Demystifying Randomly Initialized Networks for Evaluating Generative Models

Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee

Comments Accepted in AAAI 2023

Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-grained Student Ensemble

Xiaoye Qu, Jun Zeng, Daizong Liu, Zhefeng Wang, Baoxing Huai, Pan Zhou

Comments Accepted at AAAI 2023

Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection

Zhenyu Wu, Lin Wang, Wei Wang, Qing Xia, Chenglizhao Chen, Aimin Hao, Shuo Li

Comments 9 pages, 8 figures

Journal ref AAAI 2023

RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning

Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang

Comments accepted by AAAI 2023

TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning

Shiming Chen, Ziming Hong, Wenjin Hou, Guo-Sen Xie, Yibing Song, Jian Zhao, Xinge You, Shuicheng Yan, Ling Shao

Comments This is an extention of AAAI'22 paper (TransZero). Accepted to TPAMI. arXiv admin note: substantial text overlap with arXiv:2112.01683

Towards Seamless Management of AI Models in High-Performance Computing

Sixing Yu, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Ali Jannesari

Comments Accepted at the 2nd Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE)

Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits

Guojun Xiong, Jian Li

Comments AAAI 2023

Reinforced Approximate Exploratory Data Analysis

Shaddy Garg, Subrata Mitra, Tong Yu, Yash Gadhia, Arjun Kashettiwar

Comments Appears in the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023

Estimating Geographic Spillover Effects of COVID-19 Policies From Large-Scale Mobility Networks

Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander

Comments This is the extended version of a paper accepted to AAAI 2023

Journal ref AAAI 2023

Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks

Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao

Comments 37th AAAI Conference on Artificial Intelligence (AAAI-23)

HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design

Hui Wei, Zhixiang Wang, Xuemei Jia, Yinqiang Zheng, Hao Tang, Shin'ichi Satoh, Zheng Wang

Comments Accepted to AAAI 2023

SEPT: Towards Scalable and Efficient Visual Pre-Training

Yiqi Lin, Huabin Zheng, Huaping Zhong, Jinjing Zhu, Weijia Li, Conghui He, Lin Wang

Comments Accepted by AAAI 2023

Corruption-tolerant Algorithms for Generalized Linear Models

Bhaskar P Mukhoty, Debojyoti Dey, Purushottam Kar

Comments 46 pages, 5 figures, to appear in the 31st AAAI Conference on Artificial Intelligence (AAAI), 2023

Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense

Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang

Comments Accepted by AAAI 2023

MAPS-KB: A Million-scale Probabilistic Simile Knowledge Base

Qianyu He, Xintao Wang, Jiaqing Liang, Yanghua Xiao

Comments Accepted to AAAI 2023

Networked Restless Bandits with Positive Externalities

Christine Herlihy, John P. Dickerson

Comments Accepted to AAAI 2023

Optimizing Multiple Simultaneous Objectives for Voting and Facility Location

Yue Han, Christopher Jerrett, Elliot Anshelevich

Comments To be published in the Proceedings of 37th Conference on Artificial Intelligence (AAAI 2023)

Language-Assisted 3D Feature Learning for Semantic Scene Understanding

Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, Li Yi

Comments Accepted by AAAI 2023

Exploring the Effectiveness of Mask-Guided Feature Modulation as a Mechanism for Localized Style Editing of Real Images

Snehal Singh Tomar, Maitreya Suin, A. N. Rajagopalan

Comments To appear as a Student Abstract Track paper in Proceedings of the AAAI Conference (2023)

Industry-Scale Orchestrated Federated Learning for Drug Discovery

Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Wouter Heyndrickx, Ezron Oluoch, Manuel Stößel, Michal Vančo, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Antoine Simon, Ádám Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier

Comments 9 pages, 4 figures, to appear in AAAI-23 ([IAAI-23 track] Deployed Highly Innovative Applications of AI)

Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies

Mauricio Tec, James Scott, Corwin Zigler

Journal ref AAAI 2023

Moving Metric Detection and Alerting System at eBay

Zezhong Zhang, Keyu Nie, Ted Tao Yuan

Comments The work is oral presented on the AAAI-20 Workshop on Cloud Intelligence, 2020

Contrastive View Design Strategies to Enhance Robustness to Domain Shifts in Downstream Object Detection

Kyle Buettner, Adriana Kovashka

Comments To appear, 2nd International Workshop on Practical Deep Learning in the Wild at AAAI Conference on Artificial Intelligence 2023

Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective

Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu, Changwen Zheng, Fuchun Sun

Comments Accepted by AAAI 2023

Context-Transformer: Tackling Object Confusion for Few-Shot Detection

Ze Yang, Yali Wang, Xianyu Chen, Jianzhuang Liu, Yu Qiao

Comments Accepted by AAAI-2020

VASR: Visual Analogies of Situation Recognition

Yonatan Bitton, Ron Yosef, Eli Strugo, Dafna Shahaf, Roy Schwartz, Gabriel Stanovsky

Comments Accepted to AAAI 2023. Website: https://vasr-dataset.github.io/

Spatio-Temporal Super-Resolution of Dynamical Systems using Physics-Informed Deep-Learning

Rajat Arora, Ankit Shrivastava

Comments Accepted in AAAI 2023: Workshop on AI to Accelerate Science and Engineering (AI2ASE)